Sushil Varma is an assistant professor at the Industrial and Operations Engineering Department of the University of Michigan, Ann Arbor. His research interests include applied probability, queueing theory, and revenue management with applications in online marketplaces, load balancing, and stochastic processing/matching networks. Sushil’s thesis on Stochastic Matching Networks has received the GT Sigma Xi Best Ph.D. Thesis Award, ACM SIGMETRICS Doctoral Dissertation Award, and the INFORMS TSL Dissertation Award Competition (finalist).
